Ensemble machine learning of random forest, AdaBoost and XGBoost for vertical total electron content forecasting
Space weather describes varying conditions between the Sun and Earth that can degrade
Global Navigation Satellite Systems (GNSS) operations. Thus, these effects should be …
Global Navigation Satellite Systems (GNSS) operations. Thus, these effects should be …
Long short‐term memory neural network for ionospheric total electron content forecasting over China
An increasing number of terrestrial‐and space‐based radio‐communication systems are
influenced by the ionospheric space weather, making the ionospheric state increasingly …
influenced by the ionospheric space weather, making the ionospheric state increasingly …
Machine learning-based short-term GPS TEC forecasting during high solar activity and magnetic storm periods
Precise ionospheric total electron content (TEC) is critical for many aerospace applications,
and forecasting ionospheric TEC is of great significance to it. Besides, short-term prediction …
and forecasting ionospheric TEC is of great significance to it. Besides, short-term prediction …
A forecasting model based on ARIMA and artificial neural networks for end–OF–life vehicles
JAF de Souza, MM Silva, SG Rodrigues… - Journal of environmental …, 2022 - Elsevier
The accelerated growth of the automotive supply network has had an immeasurable impact
on the environment, especially relating to reusing and disposal of materials. The appropriate …
on the environment, especially relating to reusing and disposal of materials. The appropriate …
A machine learning-based method for modeling TEC regional temporal-spatial map
Y Liu, J Wang, C Yang, Y Zheng, H Fu - Remote Sensing, 2022 - mdpi.com
In order to achieve the high-accuracy prediction of the total electron content (TEC) of the
regional ionosphere for supporting the application of satellite navigation, positioning …
regional ionosphere for supporting the application of satellite navigation, positioning …
Optimal transformer modeling by space embedding for ionospheric total electron content prediction
M Lin, X Zhu, G Tu, X Chen - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Prediction of ionospheric total electron content (TEC) enables accurate ionospheric delay
correction for global navigation satellite system (GNSS) services. Thus, it is crucial to extract …
correction for global navigation satellite system (GNSS) services. Thus, it is crucial to extract …
Mathematical and intelligent modeling of stevia (Stevia Rebaudiana) leaves drying in an infrared‐assisted continuous hybrid solar dryer
A Bakhshipour, H Zareiforoush… - Food Science & …, 2021 - Wiley Online Library
Drying characteristics of stevia leaves were investigated in an infrared (IR)‐assisted
continuous‐flow hybrid solar dryer. Drying experiments were conducted at the inlet air …
continuous‐flow hybrid solar dryer. Drying experiments were conducted at the inlet air …
Spatio-temporal analysis of TEC during solar activity periods using support vector machine
We propose a new method for spatio-temporal modeling of the ionospheric total electron
content (TEC) at severe solar activity periods using a support vector machine (SVM). Using …
content (TEC) at severe solar activity periods using a support vector machine (SVM). Using …
Discussing total electron content over the solar wind parameters
E Eroglu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Modeling and forecasting of Total Electron Content (TEC) values by an Artificial Neural
Network model (ANNm) have high agreement on November 2003, 2004 superstorms. The …
Network model (ANNm) have high agreement on November 2003, 2004 superstorms. The …
Regional application of ANFIS in ionosphere time series prediction at severe solar activity period
The ionosphere and its activities play an important role in radio communications, space
science and positioning. In this paper, we present efficiency of the adaptive neuro-fuzzy …
science and positioning. In this paper, we present efficiency of the adaptive neuro-fuzzy …